The Correlation between Sleep and Creativity

Fredrich August von Kekule, a famous German chemist, was attempting to determine the shape of the benzene molecule, which was known to have six carbon atoms. In 1865, reflecting upon his discovery of the hexagonal-ring like structure, he asserted that the solution came to him in a dream1; however, it is not clear if he was in rapid eye movement (REM) sleep dreaming or if he was in non-REM (NREM) sleep imagery. It is possible to think of this type of discoveries as an expression of creativity, i.e. the ability to use existing pieces of information and combine them in novel patterns leading to greater understanding and new solutions. Preliminary support of the role of sleep in creative thinking comes from a recent study by Wagner et al.2; these authors asked normal participants to perform a cognitive task, the Number Reduction Task. In this task, participants are required to understand a set of stimulus-response sequences and supply a single representative numerical answer. Improvement in task performance may be gradual (i.e., by slowly increasing response speed), or abrupt (after insight into an abstract rule underlying all sequences). They found that 59% of the participants that were allowed to sleep were able to perform the task in a time that was 70% shorter than the other group that did not sleep and suggested that sleep may facilitate insight-related problem solving. Here we report the results of the first study showing a direct complex correlation between sleep architecture or microstructure and creativity in normal controls

Effect of a novel nutraceutical combination on serum lipoprotein functional profile and circulating PCSK9

BACKGROUND: A beneficial effect on cardiovascular risk may be obtained by improving lipid-related serum lipoprotein functions such as high-density lipoproteins (HDLs) cholesterol efflux capacity (CEC) and serum cholesterol loading capacity (CLC) and by reducing proprotein convertase subtilisin kexin type 9 (PCSK9), independently of lipoprotein concentrations. AIM: We aimed to evaluate the effect of an innovative nutraceutical (NUT) combination containing red yeast rice (monacolin K 3.3 mg), berberine 531.25 mg and leaf extract of Morus alba 200 mg (LopiGLIK®), on HDL-CEC, serum CLC and on circulating PCSK9 levels. MATERIALS AND METHODS: Twenty three dyslipidemic subjects were treated for 4 weeks with the above NUT combination. HDL-CEC was measured using specific cell-based radioisotopic assays; serum CLC and PCSK9 concentrations were measured fluorimetrically and by enzyme-linked immunosorbent assay, respectively. RESULTS: The NUT combination significantly reduced plasma level of the total cholesterol and low-density lipoprotein cholesterol (-9.8% and -12.6%, respectively). Despite no changes in HDL-cholesterol, the NUT combination improved total HDL-CEC in 83% of the patients, by an average of 16%, as a consequence of the increase mainly of the ATP-binding cassette A1-mediated CEC (+28.5%). The NUT combination significantly reduced serum CLC (-11.4%) while it did not change PCSK9 plasma levels (312.9±69.4 ng/mL vs 334.8±103.5 mg/L, before and after treatment, respectively). CONCLUSION: The present NUT combination improves the serum lipoprotein functional profile providing complementary beneficial effects, without any detrimental increase of PCSK9 plasma levels

The relation between cash flows and economic performance in the digital age: An empirical analysis

Cash flows analysis plays an increasingly important role in the study of business dynamics since cash flows play a key role in the company's economic performance, not only from a standpoint but also in predictive terms. The literature on the subject is poor in number and depth of research, the samples analyzed so far are limited and the statistical tools are weak. Retracing the steps of past research, we studied the relationships between cash flows of several management areas and economic performance, using a complete sample of Italian listed companies in the 2008-2017 period with more solid statistical tools compared to previous studies. The database used to collect all the balance sheet data necessary to conduct our research is Amadeus of the Bureau Van Dijk platform, which already shows reclassified and easily comparable financial statements. Correlation and multiple regression analysis were used to assess if our cash flow proxies could be strong predictors of future cash flow and, consequently, of business performance. The flows for investments and the ability to generate cash, where the latter is positively correlated with future profitability, manage to explain, together with the net cash generation of the company, a large part of the variability of the operating income produced in subsequent periods. The flows from investments seem to be the most suitable for correctly classifying the most profitable companies in the medium-long term, while cash generation, deriving from the characteristic activity, contributes to providing answers, about corporate profitability, on shorter time horizons

The First in-silico Model of Leg Movement Activity During Sleep

We developed the first model simulator of leg movements activity during sleep. We designed and calibrated a phenomenological model on control subjects not showing significant periodic leg movements (PLM). To test a single generator hypothesis behind PLM—a single pacemaker possibly resulting from two (or more) interacting spinal/supraspinal generators—we added a periodic excitatory input to the control model. We describe the onset of a movement in one leg as the firing of a neuron integrating physiological excitatory and inhibitory inputs from the central nervous system, while the duration of the movement was drawn in accordance with statistical evidence. The period and the intensity of the periodic input were calibrated on a dataset of subjects showing PLM (mainly restless legs syndrome patients). Despite its many simplifying assumptions—the strongest being the stationarity of the neural processes during night sleep—the model simulations are in remarkable agreement with the polysomnographically recorded data

The impact of lockdown on sleep patterns of children and adolescents with ADHD

STUDY OBJECTIVES: The current study examined the impact of home confinement (lockdown) due to the COVID-19 pandemic on sleep patterns of children and adolescents with ADHD.METHODS: Nine hundred ninety-two parents of children and adolescents with ADHD filled out an anonymous online survey through the ADHD family association website. The survey investigated the sleep patterns and disturbances (using a modified version of the Sleep Disturbance Scale for Children) and screen exposure time before and during the lockdown.RESULTS: During the lockdown, 59.3% of children and 69.4% of adolescents with ADHD reported a change of bedtime with significant increase of ADHD patients that went to sleep at 11pm or later. Sleep duration, in contrast, resulted in two opposing processes with more children and adolescent sleeping either less than 6 hours/night or 10-11 hours/night. Among children and adolescents, respectively, 19.9% and 22% slept less than they did before lockdown, while 21.4% and 27.4% slept more hours. Bedtime delay and decreased sleep duration were associated with an increase in the screen time exposure. Moreover, ADHD patients reported an increase in sleep disturbances when compared to previous condition, including mainly difficulties falling asleep, anxiety at bedtime, night awakenings, nightmares and daytime sleepiness.CONCLUSIONS: The lockdown impacted on sleep-wake rhythms by strengthening the maladaptive sleep patterns reported in usual life conditions in ADHD children

In-field assessment of sodium oxybate effect in pediatric type 1 narcolepsy: An actigraphic study

Study Objectives: Sodium oxybate (SXB) is a GABAergic agent widely used as off-label treatment in pediatric type 1 narcolepsy (NT1). Here, we aimed at analyzing by wrist actigraphy the sleep/wake profile of NT1 children and adolescents in drug-na\uefve condition and after 1 year of SXB treatment. As secondary aim, we investigated changes on sleepiness, cataplexy, and children's anthropometric profile after 1 year of SXB treatment. Methods: Twenty-four drug-na\uefve NT1 children underwent 7 days of actigraphy during the school week. Information on sleepiness, narcolepsy symptoms, and anthropometric features were collected during the same week with questionnaires and semistructured clinical interview. Children started SXB treatment and underwent a second evaluation encompassing actigraphy, clinical interview, questionnaires, and anthropometric assessment after 1 year of stable treatment. Results: Actigraphy effectively documented an improvement of nocturnal sleep quality and duration coupled with a reduction of diurnal total sleep time, nap frequency, and duration at 1 year follow-up. Reduction of sleepiness, cataplexy frequency and severity, and weight loss, mainly in obese and overweight NT1 children, were also observed at the 1 year follow-up. Conclusions: Actigraphy objectively documented changes in nocturnal sleep quality and diurnal napping behavior after 1 year of SXB treatment, thus representing a valid approach to ecologically assess SXB treatment effect on NT1 children's sleep/wake profile. NT1 symptoms severity and children's anthropometric features also changed as expected. Actigraphy offers the possibility to longitudinally follow up children and has potential to become a key tool to tailor treatment in pediatric patients

Sleep‐related hypermotor epilepsy and non‐rapid eye movement parasomnias: Differences in the periodic and aperiodic component of the electroencephalographic power spectra

Over the last two decades, our understanding of clinical and pathophysiological aspects of sleep-related epileptic and non-epileptic paroxysmal behaviours has improved considerably, although it is far from complete. Indeed, even if many core characteristics of sleep-related hypermotor epilepsy and non-rapid eye movement parasomnias have been clarified, some crucial points remain controversial, and the overlap of the behavioural patterns between these disorders represents a diagnostic challenge. In this work, we focused on segments of multichannel sleep electroencephalogram free from clinical episodes, from two groups of subjects affected by sleep-related hypermotor epilepsy (N = 15) and non-rapid eye movement parasomnias (N = 16), respectively. We examined sleep stages N2 and N3 of the first part of the night (cycles 1 and 2), and assessed the existence of differences in the periodic and aperiodic components of the electroencephalogram power spectra between the two groups, using the Fitting Oscillations & One Over f (FOOOF) toolbox. A significant difference in the gamma frequency band was found, with an increased relative power in sleep-related hypermotor epilepsy subjects, during both N2 (p < .001) and N3 (p < .001), and a significant higher slope of the aperiodic component in non-rapid eye movement parasomnias, compared with sleep-related hypermotor epilepsy, during N3 (p = .012). We suggest that the relative power of the gamma band and the slope extracted from the aperiodic component of the electroencephalogram signal may be helpful to characterize differences between subjects affected by non-rapid eye movement parasomnias and those affected by sleep-related hypermotor epilepsy

Electroencephalographic Rhythms in Alzheimer's Disease

Physiological brain aging is characterized by synapses loss and neurodegeneration that slowly lead to an age-related decline of cognition. Neural/synaptic redundancy and plastic remodelling of brain networking, also due to mental and physical training, promotes maintenance of brain activity in healthy elderly subjects for everyday life and good social behaviour and intellectual capabilities. However, age is the major risk factor for most common neurodegenerative disorders that impact on cognition, like Alzheimer's disease (AD). Brain electromagnetic activity is a feature of neuronal network function in various brain regions. Modern neurophysiological techniques, such as electroencephalography (EEG) and event-related potentials (ERPs), are useful tools in the investigation of brain cognitive function in normal and pathological aging with an excellent time resolution. These techniques can index normal and abnormal brain aging analysis of corticocortical connectivity and neuronal synchronization of rhythmic oscillations at various frequencies. The present review suggests that discrimination between physiological and pathological brain aging clearly emerges at the group level, with suggested applications also at the level of single individual. The possibility of combining the use of EEG together with biological/neuropsychological markers and structural/functional imaging is promising for a low-cost, non-invasive, and widely available assessment of groups of individuals at-risk

Relationship between default mode network and resting-state electroencephalographic alpha rhythms in cognitively unimpaired seniors and patients with dementia due to alzheimer’s disease

Here we tested the hypothesis of a relationship between the cortical default mode network (DMN) structural integrity and the resting-state electroencephalographic (rsEEG) rhythms in patients with Alzheimer’s disease with dementia (ADD). Clinical and instrumental datasets in 45 ADD patients and 40 normal elderly (Nold) persons originated from the PDWAVES Consortium (www.pdwaves.eu). Individual rsEEG delta, theta, alpha, and fixed beta and gamma bands were considered. Freeware platforms served to derive (1) the (gray matter) volume of the DMN, dorsal attention (DAN), and sensorimotor (SMN) cortical networks and (2) the rsEEG cortical eLORETA source activities. We found a significant positive association between the DMN gray matter volume, the rsEEG alpha source activity estimated in the posterior DMN nodes (parietal and posterior cingulate cortex), and the global cognitive status in the Nold and ADD participants. Compared with the Nold, the ADD group showed lower DMN gray matter, lower rsEEG alpha source activity in those nodes, and lower global cognitive status. This effect was not observed in the DAN and SMN. These results suggest that the DMN structural integrity and the rsEEG alpha source activities in the DMN posterior hubs may be related and predict the global cognitive status in ADD and Nold persons.IRCCS San Raffaele Pisana of Rome ; Ministero della Salut